US9265477B2 - Adaptive lightweight acoustic signal classification for physiological monitoring - Google Patents
Adaptive lightweight acoustic signal classification for physiological monitoring Download PDFInfo
- Publication number
- US9265477B2 US9265477B2 US12/932,130 US93213011A US9265477B2 US 9265477 B2 US9265477 B2 US 9265477B2 US 93213011 A US93213011 A US 93213011A US 9265477 B2 US9265477 B2 US 9265477B2
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- segment
- signal
- class
- total energy
- processing system
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- 238000012544 monitoring process Methods 0.000 title abstract description 8
- 230000003044 adaptive effect Effects 0.000 title abstract description 6
- 238000012545 processing Methods 0.000 claims description 40
- 230000004044 response Effects 0.000 claims description 14
- 238000012806 monitoring device Methods 0.000 claims description 13
- 238000000034 method Methods 0.000 claims description 12
- 238000003672 processing method Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 description 8
- 238000001514 detection method Methods 0.000 description 8
- 208000037656 Respiratory Sounds Diseases 0.000 description 4
- 238000013519 translation Methods 0.000 description 4
- 238000000605 extraction Methods 0.000 description 2
- 230000029058 respiratory gaseous exchange Effects 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 208000017667 Chronic Disease Diseases 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000013450 outlier detection Methods 0.000 description 1
- 230000035790 physiological processes and functions Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000036387 respiratory rate Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 210000003437 trachea Anatomy 0.000 description 1
- 230000036642 wellbeing Effects 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B7/00—Instruments for auscultation
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/14—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object using acoustic emission techniques
-
- G06K9/00536—
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
- A61B5/0816—Measuring devices for examining respiratory frequency
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/024—Mixtures
- G01N2291/02483—Other human or animal parts, e.g. bones
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/12—Classification; Matching
Abstract
Description
where En is the total energy of the 100 samples datak in the segment (315). Next,
where P(x; σ, x0) is the probability that the segment belongs to the signal class, x equals the segment's total energy En, σ is the Rayleigh distribution parameter for the signal class and x0 is a translation parameter for the probability distribution of histogram data for the signal class. The Rayleigh distribution parameter σ may be determined from curve-fitting histogram data for the signal class or may be computed directly using the formula
where ν is the variance in the histogram data for the signal class. Similarly, the translation parameter x0 may be determined from curve-fitting histogram data for the signal class or may be computed directly using the formula
where μ is the mean total energy of segments in the histogram data for the signal class. The histogram data for each signal class is stored on tracking
Claims (19)
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US12/932,130 US9265477B2 (en) | 2011-02-17 | 2011-02-17 | Adaptive lightweight acoustic signal classification for physiological monitoring |
PCT/JP2012/052195 WO2012111428A1 (en) | 2011-02-17 | 2012-01-25 | Adaptive lightweight acoustic signal classification for physiological monitoring |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US12/932,130 US9265477B2 (en) | 2011-02-17 | 2011-02-17 | Adaptive lightweight acoustic signal classification for physiological monitoring |
Publications (2)
Publication Number | Publication Date |
---|---|
US20120215454A1 US20120215454A1 (en) | 2012-08-23 |
US9265477B2 true US9265477B2 (en) | 2016-02-23 |
Family
ID=46653466
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US12/932,130 Expired - Fee Related US9265477B2 (en) | 2011-02-17 | 2011-02-17 | Adaptive lightweight acoustic signal classification for physiological monitoring |
Country Status (2)
Country | Link |
---|---|
US (1) | US9265477B2 (en) |
WO (1) | WO2012111428A1 (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10172517B2 (en) | 2016-02-25 | 2019-01-08 | Samsung Electronics Co., Ltd | Image-analysis for assessing heart failure |
US10362998B2 (en) | 2016-02-25 | 2019-07-30 | Samsung Electronics Co., Ltd. | Sensor-based detection of changes in health and ventilation threshold |
US10420514B2 (en) | 2016-02-25 | 2019-09-24 | Samsung Electronics Co., Ltd. | Detection of chronotropic incompetence |
US11164596B2 (en) | 2016-02-25 | 2021-11-02 | Samsung Electronics Co., Ltd. | Sensor assisted evaluation of health and rehabilitation |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9295423B2 (en) * | 2013-04-03 | 2016-03-29 | Toshiba America Electronic Components, Inc. | System and method for audio kymographic diagnostics |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5143078A (en) | 1987-08-04 | 1992-09-01 | Colin Electronics Co., Ltd. | Respiration rate monitor |
WO1999060169A1 (en) | 1998-05-20 | 1999-11-25 | Molecular Machines, Inc. | Multimolecular devices, drug delivery systems and single-molecule selection |
US6974414B2 (en) | 2002-02-19 | 2005-12-13 | Volvo Technology Corporation | System and method for monitoring and managing driver attention loads |
EP1770545A2 (en) | 2002-10-30 | 2007-04-04 | Dpcom As | Method for analysis of single pulse pressure waves |
US20070282174A1 (en) * | 2006-03-23 | 2007-12-06 | Sabatino Michael E | System and method for acquisition and analysis of physiological auditory signals |
US20080161707A1 (en) * | 2003-09-12 | 2008-07-03 | Jonathan Farringdon | Method and apparatus for measuring heart-related parameters and deriving human status parameters from sensed physiological and contextual parameters |
US20080300867A1 (en) | 2007-06-03 | 2008-12-04 | Yan Yuling | System and method of analyzing voice via visual and acoustic data |
US7505901B2 (en) | 2003-08-29 | 2009-03-17 | Daimler Ag | Intelligent acoustic microphone fronted with speech recognizing feedback |
US20100262031A1 (en) | 2009-04-14 | 2010-10-14 | Yongji Fu | Method and system for respiratory phase classification using explicit labeling with label verification |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2628690B2 (en) * | 1987-08-04 | 1997-07-09 | コーリン電子株式会社 | Respiratory rate monitor |
-
2011
- 2011-02-17 US US12/932,130 patent/US9265477B2/en not_active Expired - Fee Related
-
2012
- 2012-01-25 WO PCT/JP2012/052195 patent/WO2012111428A1/en active Application Filing
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5143078A (en) | 1987-08-04 | 1992-09-01 | Colin Electronics Co., Ltd. | Respiration rate monitor |
WO1999060169A1 (en) | 1998-05-20 | 1999-11-25 | Molecular Machines, Inc. | Multimolecular devices, drug delivery systems and single-molecule selection |
US6974414B2 (en) | 2002-02-19 | 2005-12-13 | Volvo Technology Corporation | System and method for monitoring and managing driver attention loads |
EP1770545A2 (en) | 2002-10-30 | 2007-04-04 | Dpcom As | Method for analysis of single pulse pressure waves |
US7505901B2 (en) | 2003-08-29 | 2009-03-17 | Daimler Ag | Intelligent acoustic microphone fronted with speech recognizing feedback |
US20080161707A1 (en) * | 2003-09-12 | 2008-07-03 | Jonathan Farringdon | Method and apparatus for measuring heart-related parameters and deriving human status parameters from sensed physiological and contextual parameters |
US20070282174A1 (en) * | 2006-03-23 | 2007-12-06 | Sabatino Michael E | System and method for acquisition and analysis of physiological auditory signals |
US20080300867A1 (en) | 2007-06-03 | 2008-12-04 | Yan Yuling | System and method of analyzing voice via visual and acoustic data |
US20100262031A1 (en) | 2009-04-14 | 2010-10-14 | Yongji Fu | Method and system for respiratory phase classification using explicit labeling with label verification |
Non-Patent Citations (1)
Title |
---|
Shoichi Matsunaga et al., "Classification Between Normal and Abnormal Respiratory Sounds Based on Maximum Likelihood Approach," Proc. IEEE Int. Conf. Acoust. Speech Signal Process., 2009, vol. 1, pp. 517-520. |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10172517B2 (en) | 2016-02-25 | 2019-01-08 | Samsung Electronics Co., Ltd | Image-analysis for assessing heart failure |
US10362998B2 (en) | 2016-02-25 | 2019-07-30 | Samsung Electronics Co., Ltd. | Sensor-based detection of changes in health and ventilation threshold |
US10420514B2 (en) | 2016-02-25 | 2019-09-24 | Samsung Electronics Co., Ltd. | Detection of chronotropic incompetence |
US11164596B2 (en) | 2016-02-25 | 2021-11-02 | Samsung Electronics Co., Ltd. | Sensor assisted evaluation of health and rehabilitation |
Also Published As
Publication number | Publication date |
---|---|
US20120215454A1 (en) | 2012-08-23 |
WO2012111428A1 (en) | 2012-08-23 |
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